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boog — CS2 Stats

76561199835224736[U:1:1874959008]✓ No bans

761Tracked matches38%Win rate2025Tracked since
729Hours in CS0Hrs last 2 wks
CSDB Rating4.3 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGboogFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning37
Utility37

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateLWLLLTLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.8
Aggression4.1
Utility3.7
Positioning3.7
Opening Duels1.4
Clutch1.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.8
Positioning3.7
Utility3.7
Mechanics6.7
Opening Duels1.7
Win Impact1.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time683ms−10ms
first ⅓ avg 693ms → last ⅓ avg 683ms
Headshot accuracy22.8%+2.3%
first ⅓ avg 20.6% → last ⅓ avg 22.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — mirage 13–9
13–0Biggest win — ancient
5Longest win streak
7–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3614–2239%-0.03
ancientA2011–955%-0.01
cacheD155–1033%0.00
anubisC94–544%-0.02
infernoD71–614%-0.03
dust2D72–529%-0.06
nukeA53–260%-0.03
overpass—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,978Lifetime kills
0.73K/D
850Matches
38.7%Match win rate
48.7%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
1,587MVPs
665Hours (in match)
444Bombs planted
98Bombs defused

Most-used weapons

AK-476,284
M4A4 / M4A1-S3,942
P2000 / USP-S865
Desert Eagle490
Glock-18456
Galil AR417
FAMAS350
MP7288
P90278
AWP248

Lifetime map wins

787dust2
731inferno
378nuke
30train
16vertigo
14italy
11office
6ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

123Matches
50%Win rate
0.96Avg K/D
81.3ADR
47%Headshot %

Clutches & streaks

29%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5262%0.9115.3
Anubis1759%1.2616.1
Ancient1735%0.8013.7
Dust21631%0.9217.5
Inferno838%1.0118.4
Cache850%1.0416.0
Nuke30%0.8218.7
Overpass250%0.8616.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.1%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.3%Spray accuracy
80.1%Counter-strafing
11.4°Preaim
684msReaction time
27.3%T opening success
43.6%CT opening success
0.66Enemies flashed / flash
5.5%Flash assists
7.61HE damage / grenade
5.23Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.3115% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0326%22 Aug →
mirage13–60.0132%28 Jul →
ancient6–130.0624%28 Jul →
ancient4–130.0113%28 Jul →
mirage3–13-0.0742%27 Jul →
cache15–15-0.0432%27 Jul →
inferno10–13-0.0718%27 Jul →
ancient3–13-0.1013%26 Jul →
mirage2–13-0.0925%26 Jul →
mirage13–90.1018%25 Jul →
mirage13–100.0316%25 Jul →
cache7–130.0422%24 Jul →
mirage7–130.0332%22 Jul →
ancient10–13-0.0221%22 Jul →
inferno2–13-0.0513%22 Jul →
dust213–9-0.0323%21 Jul →
mirage11–13-0.0318%21 Jul →
anubis3–130.0224%21 Jul →
ancient13–0-0.0156%21 Jul →
mirage13–30.0124%21 Jul →
ancient13–4-0.0322%20 Jul →
anubis13–8-0.0228%20 Jul →
mirage13–10-0.0324%20 Jul →
mirage4–13-0.0026%19 Jul →
anubis10–13-0.0323%18 Jul →
ancient13–9-0.0210%18 Jul →
mirage10–13-0.085%17 Jul →
ancient13–110.0213%17 Jul →
nuke9–13-0.0420%17 Jul →
mirage6–13-0.0715%17 Jul →
cache1–13-0.0914%16 Jul →
inferno6–13-0.0028%16 Jul →
mirage13–90.0435%16 Jul →
dust21–130.0121%16 Jul →
mirage10–13-0.0916%16 Jul →
ancient0–3-0.100%15 Jul →
mirage13–11-0.0821%14 Jul →
anubis13–8-0.0511%14 Jul →
dust27–13-0.1119%14 Jul →
cache16–120.0524%14 Jul →
cache12–120.0824%14 Jul →
mirage11–13-0.1027%14 Jul →
ancient8–13-0.0322%14 Jul →
mirage13–5-0.0131%14 Jul →
cache3–13-0.098%13 Jul →
ancient11–13-0.0224%13 Jul →
mirage13–10-0.0522%13 Jul →
cache9–13-0.0027%13 Jul →
cache13–11-0.0123%13 Jul →
nuke13–80.0318%13 Jul →
anubis10–130.0112%13 Jul →
anubis13–3-0.0228%13 Jul →
mirage14–160.0116%13 Jul →
cache13–3-0.0118%13 Jul →
dust28–13-0.109%13 Jul →
cache8–13-0.0213%12 Jul →
mirage13–11-0.0013%12 Jul →
anubis8–13-0.0213%12 Jul →
ancient13–80.0017%12 Jul →
ancient13–10.0327%12 Jul →
mirage6–130.0021%12 Jul →
ancient10–13-0.0317%12 Jul →
mirage13–6-0.0427%12 Jul →
cache3–130.0126%12 Jul →
mirage11–13-0.0416%11 Jul →
cache13–3-0.0125%11 Jul →
ancient13–50.0213%11 Jul →
mirage13–3-0.0633%11 Jul →
dust213–4-0.0416%11 Jul →
mirage9–13-0.0235%10 Jul →
mirage4–13-0.0017%9 Jul →
mirage6–13-0.0321%9 Jul →
inferno2–13-0.1222%9 Jul →
anubis13–8-0.0216%9 Jul →
mirage11–13-0.0622%8 Jul →
ancient13–70.0411%8 Jul →
mirage16–13-0.0714%8 Jul →
mirage11–130.0119%8 Jul →
cache5–110.0018%7 Jul →
cache13–60.0229%7 Jul →
dust21–13-0.0323%6 Jul →
nuke13–2-0.0346%6 Jul →
ancient13–20.0116%6 Jul →
nuke3–13-0.0444%6 Jul →
mirage13–40.0223%6 Jul →
mirage10–13-0.0318%5 Jul →
overpass0–13-0.0615%2 Jul →
anubis9–13-0.0513%30 Jun →
ancient16–14-0.0019%30 Jun →
mirage2–13-0.0318%28 Jun →
dust29–13-0.0920%26 Jun →
mirage5–13-0.038%26 Jun →
ancient9–1-0.0424%26 Jun →
inferno3–20.030%21 Jun →
mirage12–12-0.0612%21 Jun →
cache12–120.0921%21 Jun →
mirage10–13-0.0316%19 Jun →
inferno4–130.0121%19 Jun →
nuke13–11-0.0629%19 Jun →
inferno13–11-0.0120%19 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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